Hyperscale Data (GPUS) Long-Term Debt Issuances (2017 - 2026)
Hyperscale Data (GPUS) recorded Long-Term Debt Issuances of $41.82 million in Q2 2026, up 272.7% from $11.22 million a year earlier and up 128.8% from the prior quarter.
Powered by 
Analysis
Hyperscale Data (GPUS) Long-Term Debt Issuances (2017 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Long-Term Debt Issuances came in at $82.21 million as of Jun 30, 2026, up 46.0% year-over-year; for FY2025, it was $51.23 million, down 15.9% from FY2024.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of 39.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Issuances came in at $60.95 million in FY2024 (-33.4%), $91.46 million in FY2023 (+71.6%), $53.31 million in FY2022 (-37.2%) and $84.91 million in FY2021 (+773.4%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Issuances since Q3 2023.
- On a year-over-year basis, Long-Term Debt Issuances rose in four of the last five quarters, with growth averaging 57.9%.
- Peak year-over-year performance for Long-Term Debt Issuances in the last five years was growth of 808.5% in Q1 2023, against a decline of 96.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.28 million (Q1 2026), $10.18 million (Q4 2025) and $11.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.34 Bn | 8.56 Bn | - | 2.58 Bn |
| 2 | Block | 47.04 Bn | 18.34 Bn | 3.17 Bn | 715.24 Mn |
| 3 | Coinbase Global | 44.86 Bn | 1.66 Bn | - | - |
| 4 | Fiserv | 27.00 Bn | 23.68 Bn | 2.90 Bn | 1.69 Bn |
| 5 | Corpay | 26.97 Bn | 16.86 Bn | - | 5.35 Bn |
| 6 | Global Payments | 22.86 Bn | 646.09 Mn | 2.03 Bn | 4.66 Bn |
| 7 | Guidewire Software | 16.12 Bn | 12.69 Bn | 269.68 Mn | - |
| 8 | Bitmine Immersion Technologies | 12.49 Bn | 9.87 Bn | 40.81 Mn | - |
| 9 | Jack Henry & Associates | 11.62 Bn | 11.52 Bn | 273.85 Mn | 120.00 Mn |
| 10 | Hyperscale Data | 61.11 Mn | -137.19 Mn | 8.80 Mn | 56.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.99 Mn |
| Mar 31, 2026 | 19.98 Mn |
| Dec 31, 2025 | 20.17 Mn |
| Sep 30, 2025 | 15.68 Mn |
| Jun 30, 2025 | 16.21 Mn |
| Mar 31, 2025 | 17.94 Mn |
| Dec 31, 2024 | 11.90 Mn |
| Jun 30, 2024 | 18.44 Mn |
| Mar 31, 2024 | 15.20 Mn |
| Dec 31, 2023 | 13.39 Mn |
| Sep 30, 2023 | 51.71 Mn |
| Jun 30, 2023 | 33.30 Mn |
| Mar 31, 2023 | 5.18 Mn |
| Dec 31, 2022 | 38.05 Mn |
| Sep 30, 2022 | 10.32 Mn |
| Jun 30, 2022 | 4.65 Mn |
| Mar 31, 2022 | 295,000.00 |
| Dec 31, 2021 | 84.19 Mn |
| Sep 30, 2021 | 224,000.00 |
| Dec 31, 2020 | 2.60 Mn |
API Access
Hyperscale Data Long-Term Debt Issuances API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "GPUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();